Plants are constantly exposed to a wide array of biotic and abiotic stresses in their natural environments, posing ...

To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.

Machine learning is helping neuroscientists organize vast quantities of cells’ genetic data in the latest neurobiological cartography effort.

Being invited to present research at an international academic conference is an honor for any seasoned professional. But for ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

ClearNote Health's enhanced Avantect Pancreatic Cancer Test features industry-leading detection sensitivity and specificity ...

AI begins transforming precision oncology, speeding drug target discovery with AlphaFold and cutting clinical trial paperwork from months to days.

A new review titled Artificial Intelligence and the Discovery of Antibiotics: Reinventing with Opportunities, Challenges, and ...

Overview: The global Artificial Intelligence (AI) in drug discovery market is projected to grow at a rate of 25-30% over the ...

People with aphantasia have no mental imagery—and they’re offering brain scientists a window into consciousness ...

Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for ...

Artificial intelligence is emerging as a powerful tool for improving the diagnosis, phenotyping, and treatment of inflammatory skin diseases such as alopecia.